{"id":"W2395395078","doi":"10.18192/riss-ijhs.v3i1.1448","title":"Under-reporting of Adverse Drug Reactions: The Need for an Automated Reporting System","year":2013,"lang":"en","type":"article","venue":"Revue interdisciplinaire des sciences de la santé - Interdisciplinary Journal of Health Sciences","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health care; Pharmacovigilance; Drug reaction; Health informatics; Ignorance; Health professionals; Medicine; Informatics; Drug; Adverse drug reaction; Business; Public health; Nursing; Political science; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.03262569,0.000330987,0.0009146238,0.0005692577,0.005130108,0.0001340925,0.001419908,0.0001613799,0.00007905943],"category_scores_gemma":[0.001265139,0.0002196849,0.0005229064,0.001183891,0.004780155,0.001884729,0.0004977419,0.0009093264,0.000008717071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006153255,"about_ca_system_score_gemma":0.001308964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162085,"about_ca_topic_score_gemma":0.00005923157,"domain_scores_codex":[0.9908434,0.001585234,0.005649783,0.0005116758,0.0004913688,0.0009186115],"domain_scores_gemma":[0.9809567,0.002363956,0.0153835,0.000288671,0.0006092399,0.0003979663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001184551,0.003362595,0.1321689,0.006759484,0.001154045,0.0003892027,0.1594119,0.4216119,0.1145091,0.009237033,0.03641761,0.1137937],"study_design_scores_gemma":[0.001753211,0.003302029,0.07500571,0.005232604,0.0003387348,0.01263978,0.3812864,0.4780407,0.007052115,0.03376976,0.000779134,0.0007998217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838923,0.0008756527,0.002685178,0.004862088,0.002149466,0.0008405881,0.00002208646,0.0001526224,0.004520007],"genre_scores_gemma":[0.9947996,0.0001075604,0.004206411,0.0002785599,0.0004125955,0.00007241558,0.000002288441,0.0000210582,0.00009952683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2218744,"threshold_uncertainty_score":0.9979283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2151395907833851,"score_gpt":0.5625348572860858,"score_spread":0.3473952665027006,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}